Hybrid methodology for modeling short-term wind power generation using conditional kernel density estimation and singular spectrum analysis

A fundamental part of the probabilistic forecasting of wind energy process is to take into account wind speed forecasts. To achieve accurate probabilistic forecast of wind output, we developed a hybrid methodology using a nonparametric technique known as SSA (Singular Spectrum Analysis) and (CKDE) C...

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Publikašuvnnas:	Dyna
Váldodahkkit:	Soraida Aguilar, Reinaldo Castro Souza, José Francisco Pessanha, Fernando Luiz Cyrino Oliveira
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Universidad Nacional de Colombia 2017
Fáttát:	Ingeniería
Liŋkkat:	https://www.redalyc.org/articulo.oa?id=49650911014 https://www.redalyc.org/journal/496/49650911014/ https://www.redalyc.org/journal/496/49650911014/html/ https://www.redalyc.org/journal/496/49650911014/49650911014.epub https://www.redalyc.org/journal/496/49650911014/movil
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